Overview

Dataset statistics

Number of variables34
Number of observations3456
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory918.1 KiB
Average record size in memory272.0 B

Variable types

Numeric30
Categorical4

Alerts

activity has constant value "walk" Constant
min_x is highly correlated with max_abs and 8 other fieldsHigh correlation
min_y is highly correlated with max_y and 2 other fieldsHigh correlation
min_z is highly correlated with max_x and 15 other fieldsHigh correlation
max_x is highly correlated with min_z and 17 other fieldsHigh correlation
max_y is highly correlated with min_y and 2 other fieldsHigh correlation
max_z is highly correlated with max_abs and 11 other fieldsHigh correlation
max_abs is highly correlated with min_x and 17 other fieldsHigh correlation
average_x is highly correlated with max_x and 1 other fieldsHigh correlation
average_y is highly correlated with min_y and 2 other fieldsHigh correlation
average_z is highly correlated with median_zHigh correlation
average_abs is highly correlated with min_x and 17 other fieldsHigh correlation
median_x is highly correlated with max_x and 1 other fieldsHigh correlation
median_y is highly correlated with min_y and 2 other fieldsHigh correlation
median_z is highly correlated with average_zHigh correlation
median_abs is highly correlated with min_x and 16 other fieldsHigh correlation
std_x is highly correlated with min_x and 17 other fieldsHigh correlation
std_y is highly correlated with min_z and 15 other fieldsHigh correlation
std_z is highly correlated with min_z and 16 other fieldsHigh correlation
std_abs is highly correlated with min_x and 17 other fieldsHigh correlation
var_x is highly correlated with min_x and 17 other fieldsHigh correlation
var_y is highly correlated with min_z and 15 other fieldsHigh correlation
var_z is highly correlated with min_z and 16 other fieldsHigh correlation
var_abs is highly correlated with min_x and 17 other fieldsHigh correlation
range_x is highly correlated with min_x and 17 other fieldsHigh correlation
range_y is highly correlated with min_z and 16 other fieldsHigh correlation
range_z is highly correlated with min_z and 16 other fieldsHigh correlation
range_abs is highly correlated with min_x and 17 other fieldsHigh correlation
min_x is highly correlated with max_abs and 10 other fieldsHigh correlation
min_y is highly correlated with max_x and 3 other fieldsHigh correlation
min_z is highly correlated with max_x and 16 other fieldsHigh correlation
max_x is highly correlated with min_y and 15 other fieldsHigh correlation
max_y is highly correlated with min_y and 2 other fieldsHigh correlation
max_z is highly correlated with min_z and 14 other fieldsHigh correlation
max_abs is highly correlated with min_x and 17 other fieldsHigh correlation
average_x is highly correlated with median_xHigh correlation
average_y is highly correlated with min_y and 2 other fieldsHigh correlation
average_z is highly correlated with median_zHigh correlation
average_abs is highly correlated with min_x and 17 other fieldsHigh correlation
median_x is highly correlated with average_xHigh correlation
median_y is highly correlated with min_y and 2 other fieldsHigh correlation
median_z is highly correlated with average_zHigh correlation
median_abs is highly correlated with min_z and 16 other fieldsHigh correlation
std_x is highly correlated with min_x and 16 other fieldsHigh correlation
std_y is highly correlated with min_x and 17 other fieldsHigh correlation
std_z is highly correlated with min_z and 16 other fieldsHigh correlation
std_abs is highly correlated with min_x and 17 other fieldsHigh correlation
var_x is highly correlated with min_x and 16 other fieldsHigh correlation
var_y is highly correlated with min_x and 16 other fieldsHigh correlation
var_z is highly correlated with min_z and 12 other fieldsHigh correlation
var_abs is highly correlated with min_x and 17 other fieldsHigh correlation
range_x is highly correlated with min_x and 16 other fieldsHigh correlation
range_y is highly correlated with min_x and 17 other fieldsHigh correlation
range_z is highly correlated with min_z and 16 other fieldsHigh correlation
range_abs is highly correlated with min_x and 17 other fieldsHigh correlation
min_y is highly correlated with max_y and 2 other fieldsHigh correlation
min_z is highly correlated with max_x and 8 other fieldsHigh correlation
max_x is highly correlated with min_z and 4 other fieldsHigh correlation
max_y is highly correlated with min_y and 2 other fieldsHigh correlation
max_z is highly correlated with std_z and 2 other fieldsHigh correlation
max_abs is highly correlated with min_z and 13 other fieldsHigh correlation
average_x is highly correlated with median_xHigh correlation
average_y is highly correlated with min_y and 2 other fieldsHigh correlation
average_z is highly correlated with median_zHigh correlation
average_abs is highly correlated with max_abs and 10 other fieldsHigh correlation
median_x is highly correlated with average_xHigh correlation
median_y is highly correlated with min_y and 2 other fieldsHigh correlation
median_z is highly correlated with average_zHigh correlation
median_abs is highly correlated with average_abs and 4 other fieldsHigh correlation
std_x is highly correlated with max_abs and 7 other fieldsHigh correlation
std_y is highly correlated with min_z and 11 other fieldsHigh correlation
std_z is highly correlated with min_z and 10 other fieldsHigh correlation
std_abs is highly correlated with max_abs and 13 other fieldsHigh correlation
var_x is highly correlated with max_abs and 7 other fieldsHigh correlation
var_y is highly correlated with min_z and 11 other fieldsHigh correlation
var_z is highly correlated with min_z and 10 other fieldsHigh correlation
var_abs is highly correlated with max_abs and 13 other fieldsHigh correlation
range_x is highly correlated with max_abs and 7 other fieldsHigh correlation
range_y is highly correlated with min_z and 12 other fieldsHigh correlation
range_z is highly correlated with min_z and 11 other fieldsHigh correlation
range_abs is highly correlated with min_z and 13 other fieldsHigh correlation
fatigue status is highly correlated with activityHigh correlation
position is highly correlated with activityHigh correlation
order of time is highly correlated with activityHigh correlation
activity is highly correlated with fatigue status and 2 other fieldsHigh correlation
df_index is highly correlated with fatigue status and 25 other fieldsHigh correlation
fatigue status is highly correlated with df_indexHigh correlation
subject id is highly correlated with df_index and 14 other fieldsHigh correlation
position is highly correlated with min_x and 25 other fieldsHigh correlation
min_x is highly correlated with df_index and 29 other fieldsHigh correlation
min_y is highly correlated with df_index and 27 other fieldsHigh correlation
min_z is highly correlated with df_index and 28 other fieldsHigh correlation
min_abs is highly correlated with position and 26 other fieldsHigh correlation
max_x is highly correlated with df_index and 28 other fieldsHigh correlation
max_y is highly correlated with df_index and 29 other fieldsHigh correlation
max_z is highly correlated with df_index and 29 other fieldsHigh correlation
max_abs is highly correlated with position and 26 other fieldsHigh correlation
average_x is highly correlated with df_index and 29 other fieldsHigh correlation
average_y is highly correlated with df_index and 29 other fieldsHigh correlation
average_z is highly correlated with df_index and 25 other fieldsHigh correlation
average_abs is highly correlated with position and 26 other fieldsHigh correlation
median_x is highly correlated with df_index and 29 other fieldsHigh correlation
median_y is highly correlated with df_index and 29 other fieldsHigh correlation
median_z is highly correlated with min_x and 17 other fieldsHigh correlation
median_abs is highly correlated with df_index and 27 other fieldsHigh correlation
std_x is highly correlated with df_index and 28 other fieldsHigh correlation
std_y is highly correlated with df_index and 29 other fieldsHigh correlation
std_z is highly correlated with df_index and 29 other fieldsHigh correlation
std_abs is highly correlated with df_index and 28 other fieldsHigh correlation
var_x is highly correlated with df_index and 28 other fieldsHigh correlation
var_y is highly correlated with df_index and 28 other fieldsHigh correlation
var_z is highly correlated with df_index and 28 other fieldsHigh correlation
var_abs is highly correlated with df_index and 27 other fieldsHigh correlation
range_x is highly correlated with df_index and 28 other fieldsHigh correlation
range_y is highly correlated with df_index and 28 other fieldsHigh correlation
range_z is highly correlated with df_index and 29 other fieldsHigh correlation
range_abs is highly correlated with df_index and 27 other fieldsHigh correlation
fatigue status is uniformly distributed Uniform
order of time is uniformly distributed Uniform
df_index has unique values Unique
std_y has unique values Unique
std_z has unique values Unique
std_abs has unique values Unique
var_y has unique values Unique
var_z has unique values Unique
var_abs has unique values Unique
range_z has unique values Unique
range_abs has unique values Unique

Reproduction

Analysis started2022-05-27 18:11:25.073054
Analysis finished2022-05-27 18:13:23.143249
Duration1 minute and 58.07 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

df_index
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct3456
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1808.5
Minimum0
Maximum3617
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2022-05-27T14:13:23.261906image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile172.75
Q1863.75
median1808.5
Q32753.25
95-th percentile3444.25
Maximum3617
Range3617
Interquartile range (IQR)1889.5

Descriptive statistics

Standard deviation1068.731683
Coefficient of variation (CV)0.5909492304
Kurtosis-1.280404841
Mean1808.5
Median Absolute Deviation (MAD)945
Skewness0
Sum6250176
Variance1142187.411
MonotonicityStrictly increasing
2022-05-27T14:13:23.431456image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01
 
< 0.1%
24701
 
< 0.1%
24591
 
< 0.1%
24601
 
< 0.1%
24611
 
< 0.1%
24621
 
< 0.1%
24631
 
< 0.1%
24641
 
< 0.1%
24651
 
< 0.1%
24661
 
< 0.1%
Other values (3446)3446
99.7%
ValueCountFrequency (%)
01
< 0.1%
11
< 0.1%
21
< 0.1%
31
< 0.1%
41
< 0.1%
51
< 0.1%
61
< 0.1%
71
< 0.1%
81
< 0.1%
91
< 0.1%
ValueCountFrequency (%)
36171
< 0.1%
36161
< 0.1%
36151
< 0.1%
36141
< 0.1%
36131
< 0.1%
36121
< 0.1%
36111
< 0.1%
36101
< 0.1%
36091
< 0.1%
36081
< 0.1%

fatigue status
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
pref
1728 
post
1728 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters13824
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowpref
2nd rowpref
3rd rowpref
4th rowpref
5th rowpref

Common Values

ValueCountFrequency (%)
pref1728
50.0%
post1728
50.0%

Length

2022-05-27T14:13:23.574076image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-27T14:13:23.689796image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
pref1728
50.0%
post1728
50.0%

Most occurring characters

ValueCountFrequency (%)
p3456
25.0%
r1728
12.5%
e1728
12.5%
f1728
12.5%
o1728
12.5%
s1728
12.5%
t1728
12.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter13824
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p3456
25.0%
r1728
12.5%
e1728
12.5%
f1728
12.5%
o1728
12.5%
s1728
12.5%
t1728
12.5%

Most occurring scripts

ValueCountFrequency (%)
Latin13824
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
p3456
25.0%
r1728
12.5%
e1728
12.5%
f1728
12.5%
o1728
12.5%
s1728
12.5%
t1728
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII13824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
p3456
25.0%
r1728
12.5%
e1728
12.5%
f1728
12.5%
o1728
12.5%
s1728
12.5%
t1728
12.5%

subject id
Real number (ℝ≥0)

HIGH CORRELATION

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.3125
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2022-05-27T14:13:24.047816image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15.5
median12
Q318
95-th percentile20
Maximum20
Range19
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation6.550935904
Coefficient of variation (CV)0.5790882567
Kurtosis-1.321413394
Mean11.3125
Median Absolute Deviation (MAD)6
Skewness-0.2790311589
Sum39096
Variance42.91476122
MonotonicityNot monotonic
2022-05-27T14:13:24.155529image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1324
9.4%
2324
9.4%
6324
9.4%
11324
9.4%
12324
9.4%
14324
9.4%
15324
9.4%
18324
9.4%
19324
9.4%
20324
9.4%
ValueCountFrequency (%)
1324
9.4%
2324
9.4%
4216
6.2%
6324
9.4%
11324
9.4%
12324
9.4%
14324
9.4%
15324
9.4%
18324
9.4%
19324
9.4%
ValueCountFrequency (%)
20324
9.4%
19324
9.4%
18324
9.4%
15324
9.4%
14324
9.4%
12324
9.4%
11324
9.4%
6324
9.4%
4216
6.2%
2324
9.4%

activity
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
walk
3456 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters13824
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwalk
2nd rowwalk
3rd rowwalk
4th rowwalk
5th rowwalk

Common Values

ValueCountFrequency (%)
walk3456
100.0%

Length

2022-05-27T14:13:24.283190image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-27T14:13:24.382923image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
walk3456
100.0%

Most occurring characters

ValueCountFrequency (%)
w3456
25.0%
a3456
25.0%
l3456
25.0%
k3456
25.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter13824
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w3456
25.0%
a3456
25.0%
l3456
25.0%
k3456
25.0%

Most occurring scripts

ValueCountFrequency (%)
Latin13824
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
w3456
25.0%
a3456
25.0%
l3456
25.0%
k3456
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII13824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w3456
25.0%
a3456
25.0%
l3456
25.0%
k3456
25.0%

position
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
ankle
1188 
torso
1188 
tricep
1080 

Length

Max length6
Median length5
Mean length5.3125
Min length5

Characters and Unicode

Total characters18360
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowankle
2nd rowankle
3rd rowankle
4th rowankle
5th rowankle

Common Values

ValueCountFrequency (%)
ankle1188
34.4%
torso1188
34.4%
tricep1080
31.2%

Length

2022-05-27T14:13:24.473709image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-27T14:13:24.596489image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
ankle1188
34.4%
torso1188
34.4%
tricep1080
31.2%

Most occurring characters

ValueCountFrequency (%)
o2376
12.9%
e2268
12.4%
t2268
12.4%
r2268
12.4%
a1188
6.5%
n1188
6.5%
k1188
6.5%
l1188
6.5%
s1188
6.5%
i1080
5.9%
Other values (2)2160
11.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter18360
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o2376
12.9%
e2268
12.4%
t2268
12.4%
r2268
12.4%
a1188
6.5%
n1188
6.5%
k1188
6.5%
l1188
6.5%
s1188
6.5%
i1080
5.9%
Other values (2)2160
11.8%

Most occurring scripts

ValueCountFrequency (%)
Latin18360
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o2376
12.9%
e2268
12.4%
t2268
12.4%
r2268
12.4%
a1188
6.5%
n1188
6.5%
k1188
6.5%
l1188
6.5%
s1188
6.5%
i1080
5.9%
Other values (2)2160
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII18360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o2376
12.9%
e2268
12.4%
t2268
12.4%
r2268
12.4%
a1188
6.5%
n1188
6.5%
k1188
6.5%
l1188
6.5%
s1188
6.5%
i1080
5.9%
Other values (2)2160
11.8%

order of time
Categorical

HIGH CORRELATION
UNIFORM

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.1 KiB
1
1152 
2
1152 
3
1152 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters3456
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
11152
33.3%
21152
33.3%
31152
33.3%

Length

2022-05-27T14:13:24.703199image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-27T14:13:24.822851image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
11152
33.3%
21152
33.3%
31152
33.3%

Most occurring characters

ValueCountFrequency (%)
11152
33.3%
21152
33.3%
31152
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number3456
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
11152
33.3%
21152
33.3%
31152
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common3456
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
11152
33.3%
21152
33.3%
31152
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII3456
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11152
33.3%
21152
33.3%
31152
33.3%

min_x
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3455
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.401003323
Minimum-4.827109417
Maximum0.701801737
Zeros0
Zeros (%)0.0%
Negative3091
Negative (%)89.4%
Memory size27.1 KiB
2022-05-27T14:13:24.945554image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-4.827109417
5-th percentile-3.920822834
Q1-1.778043274
median-1.446451982
Q3-0.413176371
95-th percentile0.3403753152
Maximum0.701801737
Range5.528911154
Interquartile range (IQR)1.364866903

Descriptive statistics

Standard deviation1.226541423
Coefficient of variation (CV)-0.8754736006
Kurtosis0.06162911999
Mean-1.401003323
Median Absolute Deviation (MAD)0.6752521005
Skewness-0.7435167982
Sum-4841.867483
Variance1.504403863
MonotonicityNot monotonic
2022-05-27T14:13:25.082188image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0092
 
0.1%
-0.8930579471
 
< 0.1%
-1.0592262161
 
< 0.1%
-1.0976529161
 
< 0.1%
-0.9335346381
 
< 0.1%
-0.7844771311
 
< 0.1%
-0.7414064091
 
< 0.1%
-0.7308891721
 
< 0.1%
-0.810249971
 
< 0.1%
-1.3258248571
 
< 0.1%
Other values (3445)3445
99.7%
ValueCountFrequency (%)
-4.8271094171
< 0.1%
-4.8171099621
< 0.1%
-4.8052120321
< 0.1%
-4.7646910121
< 0.1%
-4.758286211
< 0.1%
-4.7558780931
< 0.1%
-4.7543984731
< 0.1%
-4.7489387791
< 0.1%
-4.728369221
< 0.1%
-4.7188295681
< 0.1%
ValueCountFrequency (%)
0.7018017371
< 0.1%
0.6324272981
< 0.1%
0.5376858191
< 0.1%
0.5000236981
< 0.1%
0.4799144611
< 0.1%
0.465825531
< 0.1%
0.4594326691
< 0.1%
0.4552984141
< 0.1%
0.4509584951
< 0.1%
0.4496320951
< 0.1%

min_y
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3455
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8781188317
Minimum-4.028787527
Maximum0.88807808
Zeros0
Zeros (%)0.0%
Negative2460
Negative (%)71.2%
Memory size27.1 KiB
2022-05-27T14:13:25.228072image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-4.028787527
5-th percentile-3.583613621
Q1-1.589217732
median-0.52151602
Q30.0657847385
95-th percentile0.3774382023
Maximum0.88807808
Range4.916865607
Interquartile range (IQR)1.65500247

Descriptive statistics

Standard deviation1.218504107
Coefficient of variation (CV)-1.387630082
Kurtosis0.128599021
Mean-0.8781188317
Median Absolute Deviation (MAD)0.6611708385
Skewness-1.093858691
Sum-3034.778682
Variance1.484752258
MonotonicityNot monotonic
2022-05-27T14:13:25.367390image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0092
 
0.1%
-1.6512585981
 
< 0.1%
-1.7322652061
 
< 0.1%
-1.7247198661
 
< 0.1%
-1.6825409781
 
< 0.1%
-1.654331
 
< 0.1%
-1.619888891
 
< 0.1%
-1.7206297191
 
< 0.1%
-1.5677743791
 
< 0.1%
-1.8173232211
 
< 0.1%
Other values (3445)3445
99.7%
ValueCountFrequency (%)
-4.0287875271
< 0.1%
-4.0225721941
< 0.1%
-3.9857894331
< 0.1%
-3.977800261
< 0.1%
-3.9602678611
< 0.1%
-3.9518187861
< 0.1%
-3.9488539421
< 0.1%
-3.9288173081
< 0.1%
-3.9248974761
< 0.1%
-3.9178928451
< 0.1%
ValueCountFrequency (%)
0.888078081
< 0.1%
0.8865284451
< 0.1%
0.885459851
< 0.1%
0.8783697921
< 0.1%
0.8758344251
< 0.1%
0.8754881651
< 0.1%
0.872225231
< 0.1%
0.8705927411
< 0.1%
0.8672827551
< 0.1%
0.8647304251
< 0.1%

min_z
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3455
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4602076921
Minimum-2.70376303
Maximum1.021
Zeros0
Zeros (%)0.0%
Negative3150
Negative (%)91.1%
Memory size27.1 KiB
2022-05-27T14:13:25.509263image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2.70376303
5-th percentile-1.282111792
Q1-0.7110751543
median-0.295230104
Q3-0.113110876
95-th percentile0.04552766225
Maximum1.021
Range3.72476303
Interquartile range (IQR)0.5979642783

Descriptive statistics

Standard deviation0.4944286297
Coefficient of variation (CV)-1.074359769
Kurtosis3.428554444
Mean-0.4602076921
Median Absolute Deviation (MAD)0.2413025125
Skewness-1.620756446
Sum-1590.477784
Variance0.2444596698
MonotonicityNot monotonic
2022-05-27T14:13:25.652625image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0212
 
0.1%
-0.1597098941
 
< 0.1%
-0.0836329611
 
< 0.1%
-0.1964444181
 
< 0.1%
-0.1987548521
 
< 0.1%
-0.2977571561
 
< 0.1%
-0.2450987641
 
< 0.1%
-0.2885572651
 
< 0.1%
-0.3376601651
 
< 0.1%
-0.2540218191
 
< 0.1%
Other values (3445)3445
99.7%
ValueCountFrequency (%)
-2.703763031
< 0.1%
-2.6915938751
< 0.1%
-2.6604650271
< 0.1%
-2.6526930151
< 0.1%
-2.6124851091
< 0.1%
-2.579753091
< 0.1%
-2.5778279291
< 0.1%
-2.5561407681
< 0.1%
-2.5409783251
< 0.1%
-2.5329441141
< 0.1%
ValueCountFrequency (%)
1.0212
0.1%
1.0207372111
< 0.1%
0.998399881
< 0.1%
0.4675552511
< 0.1%
0.4394009941
< 0.1%
0.3326322531
< 0.1%
0.2542882011
< 0.1%
0.2373453221
< 0.1%
0.2357860271
< 0.1%
0.2338679591
< 0.1%

min_abs
Real number (ℝ≥0)

HIGH CORRELATION

Distinct3455
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4382139416
Minimum0.010335747
Maximum1.021079331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2022-05-27T14:13:25.811195image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.010335747
5-th percentile0.2006933033
Q10.3411149565
median0.4126240435
Q30.50812048
95-th percentile0.7712883865
Maximum1.021079331
Range1.010743584
Interquartile range (IQR)0.1670055235

Descriptive statistics

Standard deviation0.1653652228
Coefficient of variation (CV)0.3773618479
Kurtosis1.094776001
Mean0.4382139416
Median Absolute Deviation (MAD)0.0816466175
Skewness0.7367454105
Sum1514.467382
Variance0.0273456569
MonotonicityNot monotonic
2022-05-27T14:13:25.957615image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0210793312
 
0.1%
0.4197714051
 
< 0.1%
0.4026166341
 
< 0.1%
0.4015981441
 
< 0.1%
0.3609508461
 
< 0.1%
0.3908365471
 
< 0.1%
0.4517912651
 
< 0.1%
0.3967418551
 
< 0.1%
0.4232325251
 
< 0.1%
0.311909571
 
< 0.1%
Other values (3445)3445
99.7%
ValueCountFrequency (%)
0.0103357471
< 0.1%
0.0180460191
< 0.1%
0.020326811
< 0.1%
0.0252907671
< 0.1%
0.0265140861
< 0.1%
0.0266280331
< 0.1%
0.0272018531
< 0.1%
0.0273602251
< 0.1%
0.0297611611
< 0.1%
0.0301712521
< 0.1%
ValueCountFrequency (%)
1.0210793312
0.1%
1.0208185311
< 0.1%
1.0101336551
< 0.1%
1.0069636151
< 0.1%
1.0038610691
< 0.1%
0.9959162311
< 0.1%
0.9952307941
< 0.1%
0.9944917471
< 0.1%
0.9919536511
< 0.1%
0.9887215011
< 0.1%

max_x
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3455
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.221823457
Minimum-0.974377335
Maximum5.063913778
Zeros0
Zeros (%)0.0%
Negative832
Negative (%)24.1%
Memory size27.1 KiB
2022-05-27T14:13:26.100256image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-0.974377335
5-th percentile-0.3684203167
Q10.0579488205
median0.8481791245
Q31.768754961
95-th percentile4.176543371
Maximum5.063913778
Range6.038291113
Interquartile range (IQR)1.710806141

Descriptive statistics

Standard deviation1.468955164
Coefficient of variation (CV)1.202264661
Kurtosis-0.2221022703
Mean1.221823457
Median Absolute Deviation (MAD)0.896046536
Skewness0.8984986166
Sum4222.621866
Variance2.157829275
MonotonicityNot monotonic
2022-05-27T14:13:26.256818image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0092
 
0.1%
0.4075322731
 
< 0.1%
0.4133380071
 
< 0.1%
0.3765416561
 
< 0.1%
0.4930024071
 
< 0.1%
0.182808631
 
< 0.1%
0.0805002361
 
< 0.1%
0.1649089721
 
< 0.1%
0.2698044881
 
< 0.1%
0.4216749581
 
< 0.1%
Other values (3445)3445
99.7%
ValueCountFrequency (%)
-0.9743773351
< 0.1%
-0.9722780881
< 0.1%
-0.9692648691
< 0.1%
-0.9638411141
< 0.1%
-0.9637089771
< 0.1%
-0.963515421
< 0.1%
-0.9631801981
< 0.1%
-0.9615314131
< 0.1%
-0.9582229991
< 0.1%
-0.9564430611
< 0.1%
ValueCountFrequency (%)
5.0639137781
< 0.1%
4.9201960341
< 0.1%
4.9031419951
< 0.1%
4.9027664581
< 0.1%
4.8750475031
< 0.1%
4.8748928431
< 0.1%
4.8705517761
< 0.1%
4.8553544841
< 0.1%
4.8471456741
< 0.1%
4.8398144871
< 0.1%

max_y
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3455
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.068817708
Minimum-1.004506448
Maximum4.053109717
Zeros0
Zeros (%)0.0%
Negative822
Negative (%)23.8%
Memory size27.1 KiB
2022-05-27T14:13:26.414426image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-1.004506448
5-th percentile-0.391634418
Q10.0306455655
median0.689462538
Q31.741794896
95-th percentile3.39010027
Maximum4.053109717
Range5.057616165
Interquartile range (IQR)1.711149331

Descriptive statistics

Standard deviation1.238918081
Coefficient of variation (CV)1.159148162
Kurtosis-0.7007027275
Mean1.068817708
Median Absolute Deviation (MAD)0.8531772365
Skewness0.6908693426
Sum3693.833998
Variance1.534918011
MonotonicityNot monotonic
2022-05-27T14:13:26.558044image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0092
 
0.1%
-0.3806087311
 
< 0.1%
-0.3413584411
 
< 0.1%
-0.3350793531
 
< 0.1%
-0.3251853761
 
< 0.1%
-0.3858111411
 
< 0.1%
-0.3868668221
 
< 0.1%
-0.3855407651
 
< 0.1%
-0.368759131
 
< 0.1%
-0.2771667021
 
< 0.1%
Other values (3445)3445
99.7%
ValueCountFrequency (%)
-1.0045064481
< 0.1%
-1.0038059571
< 0.1%
-0.8656197891
< 0.1%
-0.8605458791
< 0.1%
-0.8455939691
< 0.1%
-0.8440344171
< 0.1%
-0.8438751061
< 0.1%
-0.8431342021
< 0.1%
-0.841313111
< 0.1%
-0.8294224881
< 0.1%
ValueCountFrequency (%)
4.0531097171
< 0.1%
3.9545133031
< 0.1%
3.9350576721
< 0.1%
3.9125941591
< 0.1%
3.8873186471
< 0.1%
3.8825508331
< 0.1%
3.8743917671
< 0.1%
3.8502020811
< 0.1%
3.8435136921
< 0.1%
3.8374771031
< 0.1%

max_z
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3455
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7169106339
Minimum0.01853458
Maximum2.502130522
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2022-05-27T14:13:26.698919image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.01853458
5-th percentile0.3007380738
Q10.4936464715
median0.6317008855
Q30.833901711
95-th percentile1.503911747
Maximum2.502130522
Range2.483595942
Interquartile range (IQR)0.3402552395

Descriptive statistics

Standard deviation0.371278272
Coefficient of variation (CV)0.5178864065
Kurtosis3.885379796
Mean0.7169106339
Median Absolute Deviation (MAD)0.1584200335
Skewness1.751982639
Sum2477.643151
Variance0.1378475552
MonotonicityNot monotonic
2022-05-27T14:13:26.859527image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0212
 
0.1%
0.3779228391
 
< 0.1%
0.5427171291
 
< 0.1%
0.5247894781
 
< 0.1%
0.4863136971
 
< 0.1%
0.3152410611
 
< 0.1%
0.3097707551
 
< 0.1%
0.2627219481
 
< 0.1%
0.3679783031
 
< 0.1%
0.4628663691
 
< 0.1%
Other values (3445)3445
99.7%
ValueCountFrequency (%)
0.018534581
< 0.1%
0.085750331
< 0.1%
0.09861881
< 0.1%
0.1061915581
< 0.1%
0.1088802771
< 0.1%
0.1138319821
< 0.1%
0.1203885251
< 0.1%
0.1343556041
< 0.1%
0.1408536311
< 0.1%
0.1524444091
< 0.1%
ValueCountFrequency (%)
2.5021305221
< 0.1%
2.4067457281
< 0.1%
2.3912388631
< 0.1%
2.3482107531
< 0.1%
2.3473252521
< 0.1%
2.3457865361
< 0.1%
2.3447993421
< 0.1%
2.3423400891
< 0.1%
2.3358361271
< 0.1%
2.3110891
< 0.1%

max_abs
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3455
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.750898188
Minimum1.007775942
Maximum5.887368111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2022-05-27T14:13:27.002228image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.007775942
5-th percentile1.571288942
Q11.729404521
median1.89096574
Q34.462704182
95-th percentile5.091391447
Maximum5.887368111
Range4.879592169
Interquartile range (IQR)2.733299662

Descriptive statistics

Standard deviation1.394187886
Coefficient of variation (CV)0.5068118812
Kurtosis-1.29250959
Mean2.750898188
Median Absolute Deviation (MAD)0.232806957
Skewness0.7295052445
Sum9507.104137
Variance1.94375986
MonotonicityNot monotonic
2022-05-27T14:13:27.171746image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0210793312
 
0.1%
1.7570191861
 
< 0.1%
1.7895693011
 
< 0.1%
1.7429010061
 
< 0.1%
1.8091375971
 
< 0.1%
1.7114452221
 
< 0.1%
1.6557255111
 
< 0.1%
1.8160239261
 
< 0.1%
1.6208659571
 
< 0.1%
1.9567667241
 
< 0.1%
Other values (3445)3445
99.7%
ValueCountFrequency (%)
1.0077759421
< 0.1%
1.0210793312
0.1%
1.0260505381
< 0.1%
1.0311585071
< 0.1%
1.033148521
< 0.1%
1.0373100391
< 0.1%
1.0393441031
< 0.1%
1.0413817521
< 0.1%
1.0461797591
< 0.1%
1.0508606551
< 0.1%
ValueCountFrequency (%)
5.8873681111
< 0.1%
5.7805125461
< 0.1%
5.7306067881
< 0.1%
5.5875284851
< 0.1%
5.5813964751
< 0.1%
5.5476179021
< 0.1%
5.535885131
< 0.1%
5.525739251
< 0.1%
5.5137654711
< 0.1%
5.5011562531
< 0.1%

average_x
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3455
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1330266542
Minimum-1.020153953
Maximum1.025847833
Zeros0
Zeros (%)0.0%
Negative1841
Negative (%)53.3%
Memory size27.1 KiB
2022-05-27T14:13:27.322374image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-1.020153953
5-th percentile-1.002287683
Q1-0.759342331
median-0.059057939
Q30.240484636
95-th percentile0.9694280075
Maximum1.025847833
Range2.046001786
Interquartile range (IQR)0.999826967

Descriptive statistics

Standard deviation0.5889391987
Coefficient of variation (CV)-4.427227025
Kurtosis-0.6455398262
Mean-0.1330266542
Median Absolute Deviation (MAD)0.30638749
Skewness-0.05009460286
Sum-459.7401171
Variance0.3468493797
MonotonicityNot monotonic
2022-05-27T14:13:27.479927image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0092
 
0.1%
-0.2140186581
 
< 0.1%
-0.2084026781
 
< 0.1%
-0.2061090481
 
< 0.1%
-0.1988021581
 
< 0.1%
-0.210001641
 
< 0.1%
-0.2147328781
 
< 0.1%
-0.2498057421
 
< 0.1%
-0.2501222311
 
< 0.1%
-0.1937332431
 
< 0.1%
Other values (3445)3445
99.7%
ValueCountFrequency (%)
-1.0201539531
< 0.1%
-1.0174148611
< 0.1%
-1.0171008191
< 0.1%
-1.0155307321
< 0.1%
-1.0154071181
< 0.1%
-1.0153783761
< 0.1%
-1.0152271921
< 0.1%
-1.0146378541
< 0.1%
-1.0144048651
< 0.1%
-1.0143698141
< 0.1%
ValueCountFrequency (%)
1.0258478331
< 0.1%
1.0253338261
< 0.1%
1.0251984911
< 0.1%
1.0249497071
< 0.1%
1.0249271751
< 0.1%
1.0243093541
< 0.1%
1.0240946891
< 0.1%
1.0238278371
< 0.1%
1.023705371
< 0.1%
1.0236996961
< 0.1%

average_y
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3455
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09157161734
Minimum-1.47466907
Maximum1.456620159
Zeros0
Zeros (%)0.0%
Negative1528
Negative (%)44.2%
Memory size27.1 KiB
2022-05-27T14:13:27.617561image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-1.47466907
5-th percentile-1.430262356
Q1-0.97785479
median0.071287555
Q30.9649821897
95-th percentile1.374003788
Maximum1.456620159
Range2.931289229
Interquartile range (IQR)1.94283698

Descriptive statistics

Standard deviation0.959868926
Coefficient of variation (CV)10.48216635
Kurtosis-1.262323465
Mean0.09157161734
Median Absolute Deviation (MAD)0.9055080245
Skewness-0.1831712466
Sum316.4715095
Variance0.9213483551
MonotonicityNot monotonic
2022-05-27T14:13:27.769185image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0092
 
0.1%
-1.0032318241
 
< 0.1%
-1.0029345571
 
< 0.1%
-1.0023795451
 
< 0.1%
-1.0051542091
 
< 0.1%
-0.9933469041
 
< 0.1%
-0.9832543561
 
< 0.1%
-0.9776464181
 
< 0.1%
-0.9848443431
 
< 0.1%
-1.0046892521
 
< 0.1%
Other values (3445)3445
99.7%
ValueCountFrequency (%)
-1.474669071
< 0.1%
-1.469333821
< 0.1%
-1.467293891
< 0.1%
-1.4667027251
< 0.1%
-1.4650541991
< 0.1%
-1.4647528281
< 0.1%
-1.4638061411
< 0.1%
-1.4635549781
< 0.1%
-1.4623975441
< 0.1%
-1.4619299891
< 0.1%
ValueCountFrequency (%)
1.4566201591
< 0.1%
1.4562971911
< 0.1%
1.4555494021
< 0.1%
1.4548314261
< 0.1%
1.4541620851
< 0.1%
1.4535708131
< 0.1%
1.4477590011
< 0.1%
1.4473683551
< 0.1%
1.4462661971
< 0.1%
1.4441247861
< 0.1%

average_z
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3455
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1493536536
Minimum-0.436342243
Maximum1.021811893
Zeros0
Zeros (%)0.0%
Negative342
Negative (%)9.9%
Memory size27.1 KiB
2022-05-27T14:13:27.934716image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-0.436342243
5-th percentile-0.03673285925
Q10.090634627
median0.1644984445
Q30.216872379
95-th percentile0.2970997117
Maximum1.021811893
Range1.458154136
Interquartile range (IQR)0.126237752

Descriptive statistics

Standard deviation0.1170199946
Coefficient of variation (CV)0.7835094209
Kurtosis5.285085465
Mean0.1493536536
Median Absolute Deviation (MAD)0.062227382
Skewness0.2012073509
Sum516.1662268
Variance0.01369367914
MonotonicityNot monotonic
2022-05-27T14:13:28.091055image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0212
 
0.1%
0.1039591981
 
< 0.1%
0.1477046711
 
< 0.1%
0.1444465551
 
< 0.1%
0.1389930671
 
< 0.1%
0.0879666281
 
< 0.1%
0.0935114471
 
< 0.1%
0.0477918031
 
< 0.1%
0.0679312311
 
< 0.1%
0.066258841
 
< 0.1%
Other values (3445)3445
99.7%
ValueCountFrequency (%)
-0.4363422431
< 0.1%
-0.2689641761
< 0.1%
-0.2466455691
< 0.1%
-0.2284477631
< 0.1%
-0.1867521261
< 0.1%
-0.1829816071
< 0.1%
-0.1796363671
< 0.1%
-0.1788870651
< 0.1%
-0.1773789331
< 0.1%
-0.1747885821
< 0.1%
ValueCountFrequency (%)
1.0218118931
< 0.1%
1.0212
0.1%
1.0001088411
< 0.1%
0.996090461
< 0.1%
0.7439834971
< 0.1%
0.7309586891
< 0.1%
0.7102038481
< 0.1%
0.6756377351
< 0.1%
0.6640779181
< 0.1%
0.6286441131
< 0.1%

average_abs
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3455
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.243133443
Minimum0.980503237
Maximum1.830450341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2022-05-27T14:13:28.256613image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.980503237
5-th percentile1.015729508
Q11.035966222
median1.059309634
Q31.602260131
95-th percentile1.72574442
Maximum1.830450341
Range0.849947104
Interquartile range (IQR)0.566293909

Descriptive statistics

Standard deviation0.2876750312
Coefficient of variation (CV)0.2314112236
Kurtosis-1.300749499
Mean1.243133443
Median Absolute Deviation (MAD)0.0332564295
Skewness0.7790612196
Sum4296.26918
Variance0.0827569236
MonotonicityNot monotonic
2022-05-27T14:13:28.398237image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0210793312
 
0.1%
1.0609544831
 
< 0.1%
1.0684012561
 
< 0.1%
1.071738281
 
< 0.1%
1.0699683891
 
< 0.1%
1.0430207271
 
< 0.1%
1.0283277341
 
< 0.1%
1.0287482491
 
< 0.1%
1.0400952241
 
< 0.1%
1.0632602921
 
< 0.1%
Other values (3445)3445
99.7%
ValueCountFrequency (%)
0.9805032371
< 0.1%
0.9871360511
< 0.1%
0.9983298281
< 0.1%
0.9990574681
< 0.1%
0.9992136261
< 0.1%
0.9993301171
< 0.1%
0.9994291351
< 0.1%
0.9994446671
< 0.1%
0.9994708391
< 0.1%
0.9995649641
< 0.1%
ValueCountFrequency (%)
1.8304503411
< 0.1%
1.8236994981
< 0.1%
1.8219677581
< 0.1%
1.8216955451
< 0.1%
1.8156510981
< 0.1%
1.8126322451
< 0.1%
1.8117095611
< 0.1%
1.8111604331
< 0.1%
1.8101187061
< 0.1%
1.8077880491
< 0.1%

median_x
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3453
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1376067407
Minimum-1.161833927
Maximum1.079681071
Zeros0
Zeros (%)0.0%
Negative1855
Negative (%)53.7%
Memory size27.1 KiB
2022-05-27T14:13:28.547144image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-1.161833927
5-th percentile-1.059332217
Q1-0.7593054052
median-0.1042393165
Q30.2530383932
95-th percentile0.9840077627
Maximum1.079681071
Range2.241514998
Interquartile range (IQR)1.012343798

Descriptive statistics

Standard deviation0.6086041799
Coefficient of variation (CV)-4.422778831
Kurtosis-0.7147682845
Mean-0.1376067407
Median Absolute Deviation (MAD)0.3611323025
Skewness-0.04401220849
Sum-475.5688959
Variance0.3703990478
MonotonicityNot monotonic
2022-05-27T14:13:28.687797image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0093
 
0.1%
-1.0182
 
0.1%
-0.2728789341
 
< 0.1%
-0.1616049781
 
< 0.1%
-0.2055127451
 
< 0.1%
-0.178261311
 
< 0.1%
-0.1851790981
 
< 0.1%
-0.1701961591
 
< 0.1%
-0.1628837311
 
< 0.1%
-0.209965241
 
< 0.1%
Other values (3443)3443
99.6%
ValueCountFrequency (%)
-1.1618339271
< 0.1%
-1.1615826991
< 0.1%
-1.1532229341
< 0.1%
-1.1520028741
< 0.1%
-1.1495871011
< 0.1%
-1.1494234191
< 0.1%
-1.1485213241
< 0.1%
-1.1462817611
< 0.1%
-1.1454323511
< 0.1%
-1.1441108381
< 0.1%
ValueCountFrequency (%)
1.0796810711
< 0.1%
1.0733047921
< 0.1%
1.0724762431
< 0.1%
1.0711858991
< 0.1%
1.0687565871
< 0.1%
1.0685989381
< 0.1%
1.0663146191
< 0.1%
1.0655788121
< 0.1%
1.0560046761
< 0.1%
1.0558401951
< 0.1%

median_y
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3453
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08006510791
Minimum-1.281278944
Maximum1.282437796
Zeros0
Zeros (%)0.0%
Negative1482
Negative (%)42.9%
Memory size27.1 KiB
2022-05-27T14:13:28.832385image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-1.281278944
5-th percentile-1.229134335
Q1-0.965053411
median0.0582374015
Q30.969917971
95-th percentile1.15746978
Maximum1.282437796
Range2.56371674
Interquartile range (IQR)1.934971382

Descriptive statistics

Standard deviation0.8662122792
Coefficient of variation (CV)10.81884858
Kurtosis-1.360985669
Mean0.08006510791
Median Absolute Deviation (MAD)0.930839762
Skewness-0.2164461041
Sum276.7050129
Variance0.7503237127
MonotonicityNot monotonic
2022-05-27T14:13:28.977358image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0093
 
0.1%
0.1582
 
0.1%
-1.1299494481
 
< 0.1%
-1.057820351
 
< 0.1%
-1.0362888711
 
< 0.1%
-1.0417094351
 
< 0.1%
-1.0250741471
 
< 0.1%
-1.0727439161
 
< 0.1%
-1.0349296181
 
< 0.1%
-1.005137971
 
< 0.1%
Other values (3443)3443
99.6%
ValueCountFrequency (%)
-1.2812789441
< 0.1%
-1.2793785061
< 0.1%
-1.2757040641
< 0.1%
-1.2748452061
< 0.1%
-1.2708936721
< 0.1%
-1.2708682541
< 0.1%
-1.2706456041
< 0.1%
-1.2697305091
< 0.1%
-1.2681122911
< 0.1%
-1.2678428591
< 0.1%
ValueCountFrequency (%)
1.2824377961
< 0.1%
1.250804161
< 0.1%
1.2507338121
< 0.1%
1.2492960111
< 0.1%
1.2482820491
< 0.1%
1.2477639761
< 0.1%
1.2472792181
< 0.1%
1.2450902591
< 0.1%
1.2438941051
< 0.1%
1.2436766581
< 0.1%

median_z
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3452
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1488976378
Minimum-0.531413331
Maximum1.023487563
Zeros0
Zeros (%)0.0%
Negative217
Negative (%)6.3%
Memory size27.1 KiB
2022-05-27T14:13:29.387528image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-0.531413331
5-th percentile-0.01397036625
Q10.09735692
median0.1533786685
Q30.2012030502
95-th percentile0.28060626
Maximum1.023487563
Range1.554900894
Interquartile range (IQR)0.1038461303

Descriptive statistics

Standard deviation0.1059193107
Coefficient of variation (CV)0.7113565551
Kurtosis10.09755941
Mean0.1488976378
Median Absolute Deviation (MAD)0.051850261
Skewness1.119197445
Sum514.5902364
Variance0.01121890038
MonotonicityNot monotonic
2022-05-27T14:13:29.533082image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0213
 
0.1%
0.1322
 
0.1%
0.1472
 
0.1%
-0.0121752711
 
< 0.1%
0.0632750581
 
< 0.1%
0.1308469711
 
< 0.1%
0.1009098071
 
< 0.1%
0.1038133041
 
< 0.1%
0.0675315021
 
< 0.1%
0.0800747621
 
< 0.1%
Other values (3442)3442
99.6%
ValueCountFrequency (%)
-0.5314133311
< 0.1%
-0.2166600671
< 0.1%
-0.2095803951
< 0.1%
-0.1358791781
< 0.1%
-0.1351
< 0.1%
-0.1306506791
< 0.1%
-0.1219742951
< 0.1%
-0.1208481681
< 0.1%
-0.1206127531
< 0.1%
-0.1181247431
< 0.1%
ValueCountFrequency (%)
1.0234875631
 
< 0.1%
1.0213
0.1%
1.0003285981
 
< 0.1%
11
 
< 0.1%
0.8452418391
 
< 0.1%
0.7475264171
 
< 0.1%
0.7161011631
 
< 0.1%
0.7144784711
 
< 0.1%
0.6955603291
 
< 0.1%
0.6678763461
 
< 0.1%

median_abs
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3453
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.130510088
Minimum0.928176204
Maximum1.593939236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2022-05-27T14:13:29.688668image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.928176204
5-th percentile1.00100991
Q11.041402033
median1.090072383
Q31.226127638
95-th percentile1.350772233
Maximum1.593939236
Range0.665763032
Interquartile range (IQR)0.1847256052

Descriptive statistics

Standard deviation0.1173712218
Coefficient of variation (CV)0.1038214723
Kurtosis-0.07300135935
Mean1.130510088
Median Absolute Deviation (MAD)0.0625255065
Skewness0.8899874201
Sum3907.042863
Variance0.01377600371
MonotonicityNot monotonic
2022-05-27T14:13:29.835435image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0210793313
 
0.1%
1.038610612
 
0.1%
1.2531696261
 
< 0.1%
1.1225449861
 
< 0.1%
1.1279164341
 
< 0.1%
1.1286734571
 
< 0.1%
1.106907761
 
< 0.1%
1.1216491381
 
< 0.1%
1.069461741
 
< 0.1%
1.0518831391
 
< 0.1%
Other values (3443)3443
99.6%
ValueCountFrequency (%)
0.9281762041
< 0.1%
0.9300625321
< 0.1%
0.9329967661
< 0.1%
0.9359081781
< 0.1%
0.9364267011
< 0.1%
0.9392495881
< 0.1%
0.9406748721
< 0.1%
0.9425298491
< 0.1%
0.9444479341
< 0.1%
0.9448088251
< 0.1%
ValueCountFrequency (%)
1.5939392361
< 0.1%
1.5640295591
< 0.1%
1.5513147341
< 0.1%
1.524263361
< 0.1%
1.5166092771
< 0.1%
1.5124488631
< 0.1%
1.5078347051
< 0.1%
1.5069183241
< 0.1%
1.5016160061
< 0.1%
1.5000515731
< 0.1%

std_x
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3455
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.506261441
Minimum1.43 × 10-17
Maximum1.181908822
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2022-05-27T14:13:29.992826image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.43 × 10-17
5-th percentile0.1520950317
Q10.2283321865
median0.3471699565
Q30.936091235
95-th percentile1.059967204
Maximum1.181908822
Range1.181908822
Interquartile range (IQR)0.7077590485

Descriptive statistics

Standard deviation0.344131259
Coefficient of variation (CV)0.6797500878
Kurtosis-1.28029039
Mean0.506261441
Median Absolute Deviation (MAD)0.1536906895
Skewness0.6185299053
Sum1749.63954
Variance0.1184263234
MonotonicityNot monotonic
2022-05-27T14:13:30.157607image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.43 × 10-172
 
0.1%
0.2283107651
 
< 0.1%
0.2428449181
 
< 0.1%
0.2576697481
 
< 0.1%
0.251021151
 
< 0.1%
0.1918616521
 
< 0.1%
0.1626579371
 
< 0.1%
0.1878861391
 
< 0.1%
0.1887746151
 
< 0.1%
0.2767570721
 
< 0.1%
Other values (3445)3445
99.7%
ValueCountFrequency (%)
1.43 × 10-172
0.1%
0.0007379791
< 0.1%
0.0010112591
< 0.1%
0.0044701011
< 0.1%
0.0065708411
< 0.1%
0.0072031231
< 0.1%
0.0077656571
< 0.1%
0.0084297031
< 0.1%
0.008701561
< 0.1%
0.0088000261
< 0.1%
ValueCountFrequency (%)
1.1819088221
< 0.1%
1.1718836331
< 0.1%
1.1643882231
< 0.1%
1.1619910521
< 0.1%
1.1587304911
< 0.1%
1.1548043981
< 0.1%
1.1533016381
< 0.1%
1.1515896571
< 0.1%
1.15146161
< 0.1%
1.1514053351
< 0.1%

std_y
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct3456
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.417770486
Minimum1.4 × 10-17
Maximum0.895886883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2022-05-27T14:13:30.303836image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.4 × 10-17
5-th percentile0.1741911437
Q10.2525500338
median0.320688511
Q30.6492837785
95-th percentile0.8121452925
Maximum0.895886883
Range0.895886883
Interquartile range (IQR)0.3967337448

Descriptive statistics

Standard deviation0.2238654558
Coefficient of variation (CV)0.5358575182
Kurtosis-1.017245841
Mean0.417770486
Median Absolute Deviation (MAD)0.103481347
Skewness0.5811532813
Sum1443.8148
Variance0.0501157423
MonotonicityNot monotonic
2022-05-27T14:13:30.437506image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7395879191
 
< 0.1%
0.3129991321
 
< 0.1%
0.3081681741
 
< 0.1%
0.3179318641
 
< 0.1%
0.3212400941
 
< 0.1%
0.3270399691
 
< 0.1%
0.3093257741
 
< 0.1%
0.310442331
 
< 0.1%
0.2960717621
 
< 0.1%
0.3800152211
 
< 0.1%
Other values (3446)3446
99.7%
ValueCountFrequency (%)
1.4 × 10-171
< 0.1%
1.43 × 10-171
< 0.1%
0.0004245951
< 0.1%
0.0009444531
< 0.1%
0.0035234711
< 0.1%
0.0040565591
< 0.1%
0.0043535211
< 0.1%
0.0045450711
< 0.1%
0.0059424761
< 0.1%
0.0060613751
< 0.1%
ValueCountFrequency (%)
0.8958868831
< 0.1%
0.8932506041
< 0.1%
0.8909029571
< 0.1%
0.89017091
< 0.1%
0.8896802141
< 0.1%
0.8890284231
< 0.1%
0.8884233351
< 0.1%
0.8865090711
< 0.1%
0.8826555591
< 0.1%
0.8825924461
< 0.1%

std_z
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct3456
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2054276404
Minimum5.33 × 10-16
Maximum0.792401213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2022-05-27T14:13:30.587082image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum5.33 × 10-16
5-th percentile0.0947329495
Q10.1262035208
median0.171391572
Q30.2437756377
95-th percentile0.444188151
Maximum0.792401213
Range0.792401213
Interquartile range (IQR)0.117572117

Descriptive statistics

Standard deviation0.1186387277
Coefficient of variation (CV)0.5775207632
Kurtosis4.526267171
Mean0.2054276404
Median Absolute Deviation (MAD)0.051545379
Skewness1.894198897
Sum709.9579253
Variance0.0140751477
MonotonicityNot monotonic
2022-05-27T14:13:30.756630image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3578692511
 
< 0.1%
0.1387601741
 
< 0.1%
0.1202547121
 
< 0.1%
0.1313262151
 
< 0.1%
0.1200398671
 
< 0.1%
0.1182026781
 
< 0.1%
0.103144431
 
< 0.1%
0.1033076131
 
< 0.1%
0.1169247271
 
< 0.1%
0.1221040771
 
< 0.1%
Other values (3446)3446
99.7%
ValueCountFrequency (%)
5.33 × 10-161
< 0.1%
5.35 × 10-161
< 0.1%
0.0004421481
< 0.1%
0.0013046431
< 0.1%
0.0044525791
< 0.1%
0.006683321
< 0.1%
0.0074832961
< 0.1%
0.0079000181
< 0.1%
0.0086296421
< 0.1%
0.0088186291
< 0.1%
ValueCountFrequency (%)
0.7924012131
< 0.1%
0.7853766081
< 0.1%
0.7845957521
< 0.1%
0.7690322061
< 0.1%
0.7615229071
< 0.1%
0.7607060331
< 0.1%
0.7596250731
< 0.1%
0.7579229741
< 0.1%
0.7551495931
< 0.1%
0.7528265151
< 0.1%

std_abs
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct3456
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5277571896
Minimum4.97 × 10-16
Maximum1.116513805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2022-05-27T14:13:30.930195image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum4.97 × 10-16
5-th percentile0.2504392365
Q10.3292679305
median0.3829454745
Q30.86518539
95-th percentile0.9714249485
Maximum1.116513805
Range1.116513805
Interquartile range (IQR)0.5359174595

Descriptive statistics

Standard deviation0.2803373338
Coefficient of variation (CV)0.5311861957
Kurtosis-1.183366127
Mean0.5277571896
Median Absolute Deviation (MAD)0.084007146
Skewness0.5097789635
Sum1823.928847
Variance0.07858902072
MonotonicityNot monotonic
2022-05-27T14:13:31.084778image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8027025151
 
< 0.1%
0.3235795421
 
< 0.1%
0.313012581
 
< 0.1%
0.3226885651
 
< 0.1%
0.3238590041
 
< 0.1%
0.3292008431
 
< 0.1%
0.3113338411
 
< 0.1%
0.3232131581
 
< 0.1%
0.3036726431
 
< 0.1%
0.3957739511
 
< 0.1%
Other values (3446)3446
99.7%
ValueCountFrequency (%)
4.97 × 10-161
< 0.1%
4.99 × 10-161
< 0.1%
0.0003995891
< 0.1%
0.0013111761
< 0.1%
0.0027605771
< 0.1%
0.0040749241
< 0.1%
0.0045451621
< 0.1%
0.0062995931
< 0.1%
0.0070826341
< 0.1%
0.0074754041
< 0.1%
ValueCountFrequency (%)
1.1165138051
< 0.1%
1.1164999921
< 0.1%
1.111707051
< 0.1%
1.1096564831
< 0.1%
1.1070060231
< 0.1%
1.1040955891
< 0.1%
1.1008073111
< 0.1%
1.0963492081
< 0.1%
1.0962208611
< 0.1%
1.092322051
< 0.1%

var_x
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3455
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3746927032
Minimum2.06 × 10-34
Maximum1.396908463
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2022-05-27T14:13:31.254081image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2.06 × 10-34
5-th percentile0.023132899
Q10.05213558725
median0.1205269805
Q30.8762668002
95-th percentile1.123530487
Maximum1.396908463
Range1.396908463
Interquartile range (IQR)0.824131213

Descriptive statistics

Standard deviation0.4272243489
Coefficient of variation (CV)1.140199276
Kurtosis-1.054073226
Mean0.3746927032
Median Absolute Deviation (MAD)0.0851548215
Skewness0.8534893348
Sum1294.937982
Variance0.1825206443
MonotonicityNot monotonic
2022-05-27T14:13:31.409688image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.06 × 10-342
 
0.1%
0.0521258051
 
< 0.1%
0.0589736541
 
< 0.1%
0.0663936991
 
< 0.1%
0.0630116181
 
< 0.1%
0.0368108941
 
< 0.1%
0.0264576051
 
< 0.1%
0.0353012011
 
< 0.1%
0.0356358551
 
< 0.1%
0.0765944771
 
< 0.1%
Other values (3445)3445
99.7%
ValueCountFrequency (%)
2.06 × 10-342
0.1%
5.45 × 10-71
< 0.1%
1.02 × 10-61
< 0.1%
2 × 10-51
< 0.1%
4.32 × 10-51
< 0.1%
5.19 × 10-51
< 0.1%
6.03 × 10-51
< 0.1%
7.11 × 10-51
< 0.1%
7.57 × 10-51
< 0.1%
7.74 × 10-51
< 0.1%
ValueCountFrequency (%)
1.3969084631
< 0.1%
1.3733112491
< 0.1%
1.3557999341
< 0.1%
1.3502232041
< 0.1%
1.3426563511
< 0.1%
1.3335731971
< 0.1%
1.3301046671
< 0.1%
1.3261587381
< 0.1%
1.3258638171
< 0.1%
1.3257342461
< 0.1%

var_y
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct3456
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2246334202
Minimum1.96 × 10-34
Maximum0.802613307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2022-05-27T14:13:31.578035image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.96 × 10-34
5-th percentile0.03034259975
Q10.06378152225
median0.1028411215
Q30.4215694255
95-th percentile0.6595799765
Maximum0.802613307
Range0.802613307
Interquartile range (IQR)0.3577879033

Descriptive statistics

Standard deviation0.2198713073
Coefficient of variation (CV)0.9788005148
Kurtosis-0.5451108495
Mean0.2246334202
Median Absolute Deviation (MAD)0.0579415905
Skewness0.9685551588
Sum776.3331001
Variance0.04834339178
MonotonicityNot monotonic
2022-05-27T14:13:31.740634image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.546990291
 
< 0.1%
0.0979684571
 
< 0.1%
0.0949676231
 
< 0.1%
0.101080671
 
< 0.1%
0.1031951981
 
< 0.1%
0.1069551411
 
< 0.1%
0.0956824351
 
< 0.1%
0.096374441
 
< 0.1%
0.0876584881
 
< 0.1%
0.1444115681
 
< 0.1%
Other values (3446)3446
99.7%
ValueCountFrequency (%)
1.96 × 10-341
< 0.1%
2.06 × 10-341
< 0.1%
1.8 × 10-71
< 0.1%
8.92 × 10-71
< 0.1%
1.24 × 10-51
< 0.1%
1.65 × 10-51
< 0.1%
1.9 × 10-51
< 0.1%
2.07 × 10-51
< 0.1%
3.53 × 10-51
< 0.1%
3.67 × 10-51
< 0.1%
ValueCountFrequency (%)
0.8026133071
< 0.1%
0.7978966421
< 0.1%
0.7937080791
< 0.1%
0.7924042311
< 0.1%
0.7915308831
< 0.1%
0.7903715361
< 0.1%
0.7892960221
< 0.1%
0.7858983331
< 0.1%
0.7790808361
< 0.1%
0.7789694261
< 0.1%

var_z
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct3456
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05627159051
Minimum2.84 × 10-31
Maximum0.627899683
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2022-05-27T14:13:31.891236image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2.84 × 10-31
5-th percentile0.0089743345
Q10.0159273305
median0.029375071
Q30.0594265685
95-th percentile0.197303205
Maximum0.627899683
Range0.627899683
Interquartile range (IQR)0.043499238

Descriptive statistics

Standard deviation0.07914807861
Coefficient of variation (CV)1.40653708
Kurtosis16.40424924
Mean0.05627159051
Median Absolute Deviation (MAD)0.0159412765
Skewness3.654687356
Sum194.4746168
Variance0.006264418347
MonotonicityNot monotonic
2022-05-27T14:13:32.029835image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1280704011
 
< 0.1%
0.0192543861
 
< 0.1%
0.0144611961
 
< 0.1%
0.0172465751
 
< 0.1%
0.014409571
 
< 0.1%
0.0139718731
 
< 0.1%
0.0106387731
 
< 0.1%
0.0106724631
 
< 0.1%
0.0136713921
 
< 0.1%
0.0149094061
 
< 0.1%
Other values (3446)3446
99.7%
ValueCountFrequency (%)
2.84 × 10-311
< 0.1%
2.86 × 10-311
< 0.1%
1.95 × 10-71
< 0.1%
1.7 × 10-61
< 0.1%
1.98 × 10-51
< 0.1%
4.47 × 10-51
< 0.1%
5.6 × 10-51
< 0.1%
6.24 × 10-51
< 0.1%
7.45 × 10-51
< 0.1%
7.78 × 10-51
< 0.1%
ValueCountFrequency (%)
0.6278996831
< 0.1%
0.6168164171
< 0.1%
0.6155904941
< 0.1%
0.5914105351
< 0.1%
0.5799171391
< 0.1%
0.5786736681
< 0.1%
0.5770302511
< 0.1%
0.5744472351
< 0.1%
0.5702509081
< 0.1%
0.5667477611
< 0.1%

var_abs
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct3456
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.357093932
Minimum2.47 × 10-31
Maximum1.246603077
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2022-05-27T14:13:32.170460image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2.47 × 10-31
5-th percentile0.06271981475
Q10.1084173715
median0.1466472535
Q30.7485457638
95-th percentile0.9436664308
Maximum1.246603077
Range1.246603077
Interquartile range (IQR)0.6401283923

Descriptive statistics

Standard deviation0.3410198841
Coefficient of variation (CV)0.9549864996
Kurtosis-1.071110358
Mean0.357093932
Median Absolute Deviation (MAD)0.0593842955
Skewness0.8060451471
Sum1234.116629
Variance0.1162945614
MonotonicityNot monotonic
2022-05-27T14:13:32.315108image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6443313271
 
< 0.1%
0.104703721
 
< 0.1%
0.0979768751
 
< 0.1%
0.104127911
 
< 0.1%
0.1048846551
 
< 0.1%
0.1083731951
 
< 0.1%
0.0969287611
 
< 0.1%
0.1044667461
 
< 0.1%
0.0922170741
 
< 0.1%
0.156637021
 
< 0.1%
Other values (3446)3446
99.7%
ValueCountFrequency (%)
2.47 × 10-311
< 0.1%
2.49 × 10-311
< 0.1%
1.6 × 10-71
< 0.1%
1.72 × 10-61
< 0.1%
7.62 × 10-61
< 0.1%
1.66 × 10-51
< 0.1%
2.07 × 10-51
< 0.1%
3.97 × 10-51
< 0.1%
5.02 × 10-51
< 0.1%
5.59 × 10-51
< 0.1%
ValueCountFrequency (%)
1.2466030771
< 0.1%
1.2465722331
< 0.1%
1.2358925661
< 0.1%
1.2313375111
< 0.1%
1.2254623341
< 0.1%
1.219027071
< 0.1%
1.2117767371
< 0.1%
1.2019815861
< 0.1%
1.2017001761
< 0.1%
1.1931674611
< 0.1%

range_x
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3455
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.622826779
Minimum9.89 × 10-17
Maximum6.666338717
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2022-05-27T14:13:32.457408image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9.89 × 10-17
5-th percentile0.81763299
Q11.15990248
median1.443940929
Q35.173270643
95-th percentile5.826767871
Maximum6.666338717
Range6.666338717
Interquartile range (IQR)4.013368162

Descriptive statistics

Standard deviation1.989585977
Coefficient of variation (CV)0.7585655267
Kurtosis-1.333090693
Mean2.622826779
Median Absolute Deviation (MAD)0.454647667
Skewness0.7008818346
Sum9064.489349
Variance3.958452361
MonotonicityNot monotonic
2022-05-27T14:13:32.590027image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.89 × 10-172
 
0.1%
1.3005902191
 
< 0.1%
1.4725642231
 
< 0.1%
1.4741945711
 
< 0.1%
1.4265370451
 
< 0.1%
0.9672857611
 
< 0.1%
0.8219066451
 
< 0.1%
0.8957981441
 
< 0.1%
1.0800544581
 
< 0.1%
1.7474998151
 
< 0.1%
Other values (3445)3445
99.7%
ValueCountFrequency (%)
9.89 × 10-172
0.1%
0.0052043351
< 0.1%
0.0069216181
< 0.1%
0.0444853361
< 0.1%
0.0481242661
< 0.1%
0.0493965771
< 0.1%
0.0632403231
< 0.1%
0.0674510821
< 0.1%
0.0680119691
< 0.1%
0.0706370541
< 0.1%
ValueCountFrequency (%)
6.6663387171
< 0.1%
6.657570251
< 0.1%
6.6153209951
< 0.1%
6.5225906341
< 0.1%
6.5042024641
< 0.1%
6.4736185181
< 0.1%
6.4575359471
< 0.1%
6.4339379021
< 0.1%
6.4224534771
< 0.1%
6.4202415441
< 0.1%

range_y
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3455
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.946936539
Minimum9.89 × 10-17
Maximum4.32879766
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2022-05-27T14:13:32.739721image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9.89 × 10-17
5-th percentile0.9112766203
Q11.22559386
median1.468542001
Q32.912041496
95-th percentile3.73932177
Maximum4.32879766
Range4.32879766
Interquartile range (IQR)1.686447636

Descriptive statistics

Standard deviation0.9927003076
Coefficient of variation (CV)0.5098781021
Kurtosis-0.9013313957
Mean1.946936539
Median Absolute Deviation (MAD)0.3710354635
Skewness0.6567203346
Sum6728.61268
Variance0.9854539007
MonotonicityNot monotonic
2022-05-27T14:13:32.881346image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.89 × 10-172
 
0.1%
1.2706498671
 
< 0.1%
1.3909067641
 
< 0.1%
1.3896405141
 
< 0.1%
1.3573556011
 
< 0.1%
1.2685188591
 
< 0.1%
1.2330220691
 
< 0.1%
1.3350889541
 
< 0.1%
1.1990152481
 
< 0.1%
1.5401565181
 
< 0.1%
Other values (3445)3445
99.7%
ValueCountFrequency (%)
9.89 × 10-172
0.1%
0.0034698721
< 0.1%
0.0036811731
< 0.1%
0.0220741861
< 0.1%
0.0232013531
< 0.1%
0.024855121
< 0.1%
0.0380361051
< 0.1%
0.0408349751
< 0.1%
0.0444185421
< 0.1%
0.0469147541
< 0.1%
ValueCountFrequency (%)
4.328797661
< 0.1%
4.325598031
< 0.1%
4.2902607761
< 0.1%
4.2693404371
< 0.1%
4.2590727611
< 0.1%
4.2585796551
< 0.1%
4.2553526831
< 0.1%
4.2399294851
< 0.1%
4.2320227381
< 0.1%
4.2209807551
< 0.1%

range_z
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct3456
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.177118326
Minimum1.33 × 10-15
Maximum4.506592927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2022-05-27T14:13:33.023785image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.33 × 10-15
5-th percentile0.4707159363
Q10.6396746362
median0.936859176
Q31.451231893
95-th percentile2.697938314
Maximum4.506592927
Range4.506592927
Interquartile range (IQR)0.8115572563

Descriptive statistics

Standard deviation0.761665885
Coefficient of variation (CV)0.647059746
Kurtosis2.98524083
Mean1.177118326
Median Absolute Deviation (MAD)0.3392196115
Skewness1.669672841
Sum4068.120934
Variance0.5801349203
MonotonicityNot monotonic
2022-05-27T14:13:33.155437image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9041008931
 
< 0.1%
0.7420599281
 
< 0.1%
0.626350091
 
< 0.1%
0.7212338961
 
< 0.1%
0.6850685491
 
< 0.1%
0.6129982181
 
< 0.1%
0.554869521
 
< 0.1%
0.5512792131
 
< 0.1%
0.7056384681
 
< 0.1%
0.7168881881
 
< 0.1%
Other values (3446)3446
99.7%
ValueCountFrequency (%)
1.33 × 10-151
< 0.1%
2 × 10-151
< 0.1%
0.0041318441
< 0.1%
0.0052127771
< 0.1%
0.0373371851
< 0.1%
0.0430177391
< 0.1%
0.0434826661
< 0.1%
0.0481329731
< 0.1%
0.0492604661
< 0.1%
0.0500814251
< 0.1%
ValueCountFrequency (%)
4.5065929271
< 0.1%
4.4650153711
< 0.1%
4.3546800581
< 0.1%
4.3207078331
< 0.1%
4.2819216671
< 0.1%
4.2585411441
< 0.1%
4.2518657761
< 0.1%
4.2451450151
< 0.1%
4.2332678661
< 0.1%
4.2308066121
< 0.1%

range_abs
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct3456
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.312684246
Minimum1.33 × 10-15
Maximum5.26068796
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.1 KiB
2022-05-27T14:13:33.288336image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.33 × 10-15
5-th percentile1.086815733
Q11.335520113
median1.56624996
Q33.886833256
95-th percentile4.547775096
Maximum5.26068796
Range5.26068796
Interquartile range (IQR)2.551313143

Descriptive statistics

Standard deviation1.343370393
Coefficient of variation (CV)0.5808706463
Kurtosis-1.220110183
Mean2.312684246
Median Absolute Deviation (MAD)0.3369707995
Skewness0.6426532614
Sum7992.636754
Variance1.804644012
MonotonicityNot monotonic
2022-05-27T14:13:33.425458image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.7416080441
 
< 0.1%
1.3558815561
 
< 0.1%
1.3869526671
 
< 0.1%
1.3413028631
 
< 0.1%
1.4481867511
 
< 0.1%
1.3206086751
 
< 0.1%
1.2039342461
 
< 0.1%
1.4192820711
 
< 0.1%
1.1976334321
 
< 0.1%
1.6448571551
 
< 0.1%
Other values (3446)3446
99.7%
ValueCountFrequency (%)
1.33 × 10-151
< 0.1%
2 × 10-151
< 0.1%
0.0039148731
< 0.1%
0.0052320081
< 0.1%
0.0210248521
< 0.1%
0.0261849051
< 0.1%
0.0441133091
< 0.1%
0.0468900051
< 0.1%
0.0485885381
< 0.1%
0.0586686521
< 0.1%
ValueCountFrequency (%)
5.260687961
< 0.1%
5.2005037811
< 0.1%
5.1760488961
< 0.1%
5.1672151531
< 0.1%
5.1663739611
< 0.1%
5.1320380741
< 0.1%
5.1118645561
< 0.1%
5.0884003411
< 0.1%
5.0715473591
< 0.1%
5.0707541421
< 0.1%

Interactions

2022-05-27T14:13:18.245316image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:27.199371image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:31.150477image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:34.999238image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:38.841865image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:42.425839image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:46.425853image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:50.149364image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:54.030808image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:57.890459image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:01.499515image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:05.483218image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:09.085825image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:13.050554image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:16.826610image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:20.707940image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:24.283878image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:28.085916image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:31.947949image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:36.085355image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:39.844622image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:43.628573image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:47.443909image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:51.395426image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:55.461098image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:59.301255image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:03.236342image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:07.015749image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:10.967206image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:14.486669image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:18.365960image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:27.329054image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:31.286084image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:35.126402image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:38.960569image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:42.552534image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:46.550521image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:50.277053image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:54.155903image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:58.014157image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:01.620197image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:05.615868image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:09.226450image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:13.173235image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:16.946266image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:20.831611image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:24.408539image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:28.215608image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:32.078939image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:36.212047image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:39.967283image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:43.763236image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:47.569598image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:51.535056image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:55.591749image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:59.427917image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:03.366026image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:07.158369image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:11.086440image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:14.608353image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:18.497638image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:27.454719image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:31.434693image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:35.269022image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:39.091183image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:42.687168image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:46.672196image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:50.405711image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:54.302512image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:58.142786image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:01.746357image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:05.741559image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:09.355137image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:13.309868image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:17.072957image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:20.958275image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:24.531240image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:28.349248image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:32.213609image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:36.342827image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:40.091773image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:43.897867image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:47.937593image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:51.678672image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:55.734377image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:59.555579image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:03.491663image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:07.288051image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:11.208117image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:14.734011image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:18.613330image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:27.572990image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:31.560355image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:35.393692image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:39.205878image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:42.809946image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:46.792875image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:50.526368image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:54.421195image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:58.256513image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:01.857997image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:05.853235image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:09.476823image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:13.432543image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:17.189618image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:21.070248image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:24.642329image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:28.471917image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:32.342266image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:36.462509image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:40.207467image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:44.022525image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:48.051315image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:51.813313image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:55.858067image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:59.675966image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:03.614336image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:07.409703image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:11.323213image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:14.845713image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:18.728993image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:27.695693image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:31.695995image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:35.509390image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:39.321591image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:42.928139image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:46.913555image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:50.881444image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:54.534893image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:58.370181image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:01.975654image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:05.968927image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:09.601489image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:13.562227image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:17.305470image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:21.184914image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:24.760058image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:28.595576image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:32.469229image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:36.603137image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:40.322189image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:44.146222image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:48.175999image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:51.949981image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:55.980713image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:59.790633image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:03.732023image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:07.538360image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:11.438895image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:14.958415image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:18.851696image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:27.820331image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:31.840499image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:35.630062image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:39.442247image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:43.059787image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:47.043210image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:51.004090image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:54.666544image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:58.498839image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:02.098390image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:06.093595image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:09.730147image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:13.694874image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:17.436391image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:21.308585image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:24.882734image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:28.729204image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:32.600939image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:36.729795image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:40.440446image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:44.278840image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:48.299643image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:52.091573image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:56.120342image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:59.924307image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:03.861356image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
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2022-05-27T14:13:06.381960image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:10.377707image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:13.919560image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:17.671606image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:21.452146image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:30.650806image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:34.515067image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:38.390721image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:41.964070image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:45.946129image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:49.682400image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:53.564052image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:57.201005image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:01.022758image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:04.746199image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:08.612109image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:12.572307image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:16.345877image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:20.257087image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:23.832079image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:27.628853image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:31.447292image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:35.569903image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:39.369007image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:43.171189image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:46.958858image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:50.879798image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:54.747979image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:58.816309image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:02.759751image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:06.508620image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:10.496952image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:14.038273image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:17.790317image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:21.578749image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:30.775445image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:34.646714image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:38.505385image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:42.086742image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:46.067817image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:49.805593image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:53.686696image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:57.316697image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:01.142439image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:05.105220image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:08.730797image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:12.694980image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:16.470558image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:20.373786image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:23.946739image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:27.747565image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:31.577934image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:35.702373image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:39.491691image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:43.288903image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:47.083829image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:51.012446image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:55.106002image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:58.943943image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:02.880290image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:06.633794image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:10.621599image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:14.153936image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:17.908003image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:21.692447image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:30.898117image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:34.764097image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:38.619636image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:42.200469image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:46.184494image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:49.920219image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:53.798398image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:57.426404image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:01.270131image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:05.224902image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:08.848456image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:12.813185image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:16.587234image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:20.487452image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:24.057443image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:27.857388image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:31.696619image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:35.835020image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:39.612390image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:43.401195image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:47.204540image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:51.134123image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:55.222688image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:59.060653image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:02.997977image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:06.750456image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:10.739812image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:14.262675image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:18.015688image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:21.807153image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:31.021788image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:34.879789image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:38.728437image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:42.312142image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:46.304182image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:50.032915image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:53.914123image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:11:57.541127image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:01.382821image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:05.355559image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:08.974122image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:12.929875image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:16.706906image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:20.595189image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:24.169177image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:27.970088image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:31.821287image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:35.956696image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:39.726076image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:43.511883image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:47.322640image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:51.256795image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:55.340444image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:12:59.177320image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:03.115665image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:06.867174image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:10.851514image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:14.372998image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-27T14:13:18.127419image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Correlations

2022-05-27T14:13:33.584030image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-05-27T14:13:33.918894image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-05-27T14:13:34.478060image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-05-27T14:13:34.759341image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.
2022-05-27T14:13:34.931853image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-05-27T14:13:22.058007image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-05-27T14:13:22.956747image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

df_indexfatigue statussubject idactivitypositionorder of timemin_xmin_ymin_zmin_absmax_xmax_ymax_zmax_absaverage_xaverage_yaverage_zaverage_absmedian_xmedian_ymedian_zmedian_absstd_xstd_ystd_zstd_absvar_xvar_yvar_zvar_absrange_xrange_yrange_zrange_abs
00pref1walkankle1-1.666586-3.369942-1.0045150.5439953.5295100.1337680.8995864.285603-0.219868-1.333620-0.0366781.604442-0.272879-1.129949-0.0121751.2531700.8461810.7395880.3578690.8027030.7160210.5469900.1280700.6443315.1960963.5037101.9041013.741608
11pref1walkankle1-1.719703-3.467588-1.2011450.6395743.7410230.0428680.9594494.551759-0.217683-1.412366-0.0410821.708210-0.293303-1.200664-0.0071781.3238750.9419590.7740670.4105740.8831930.8872880.5991790.1685710.7800315.4607263.5104562.1605943.912185
22pref1walkankle1-1.787620-3.527154-1.1605560.6483913.7299270.0603030.9136214.548308-0.199166-1.430649-0.0277281.726646-0.279804-1.211285-0.0106371.3376420.9673840.7844400.3951160.9012680.9358320.6153460.1561170.8122835.5175463.5874572.0741773.899917
33pref1walkankle1-1.795576-3.502021-1.1118180.6455453.9544910.1119930.9206294.724261-0.198807-1.427603-0.0379221.724429-0.271068-1.207968-0.0179821.3288070.9697600.7833120.3862230.8986900.9404340.6135780.1491680.8076445.7500663.6140152.0324474.078716
44pref1walkankle1-1.756625-3.475091-1.1531100.6338053.6849660.0231530.9332954.511043-0.204406-1.440369-0.0382161.736274-0.287479-1.222287-0.0120451.3451950.9584110.7933270.4132990.9061420.9185510.6293670.1708160.8210935.4415913.4982452.0864053.877238
55pref1walkankle1-1.752315-3.515573-1.0603420.6730623.7474480.0481140.9055194.543534-0.199190-1.433686-0.0279971.727025-0.285080-1.215481-0.0052391.3250970.9569310.7903250.4005880.9017850.9157160.6246140.1604710.8132155.4997633.5636871.9658613.870472
66pref1walkankle1-1.752073-3.495058-1.0910140.6647703.6648380.0004640.9204894.467606-0.200563-1.417882-0.0328641.717661-0.280294-1.194709-0.0188431.3234320.9521850.7944970.4074400.8968410.9066560.6312250.1660080.8043255.4169113.4955212.0115023.802836
77pref1walkankle1-1.748664-3.505211-1.0561850.6840673.7051100.0530360.9162154.499726-0.195799-1.435344-0.0327271.730440-0.263506-1.215680-0.0036671.3310980.9644360.7883900.3964250.9017500.9301370.6215580.1571530.8131535.4537743.5582461.9724003.815659
88pref1walkankle1-1.721400-3.541905-1.2080090.6345613.6993950.0526311.0109784.489773-0.190083-1.447356-0.0376821.747360-0.264054-1.228391-0.0175231.3620520.9641350.7955250.4276780.9074850.9295570.6328600.1829080.8235295.4207943.5945352.2189863.855212
99pref1walkankle1-1.735971-3.552481-1.1509930.6869113.7782640.0694090.9400184.568073-0.169625-1.449857-0.0404711.761744-0.264689-1.220049-0.0106771.3384501.0186270.8021490.4101120.9364911.0376010.6434430.1681920.8770165.5142353.6218902.0910113.881163

Last rows

df_indexfatigue statussubject idactivitypositionorder of timemin_xmin_ymin_zmin_absmax_xmax_ymax_zmax_absaverage_xaverage_yaverage_zaverage_absmedian_xmedian_ymedian_zmedian_absstd_xstd_ystd_zstd_absvar_xvar_yvar_zvar_absrange_xrange_yrange_zrange_abs
34463608post20walktricep3-0.1430860.250409-0.2361340.3231610.9189411.5939480.6846451.6638350.3466790.9120790.2080761.0257920.3427470.9202730.2038641.0281010.2200440.3221270.1544950.3451350.0484200.1037660.0238690.1191181.0620281.3435390.9207791.340674
34473609post20walktricep3-0.2494770.245157-0.1677820.3538220.8828001.5728680.6162651.6673410.3389450.9149010.2185061.0285790.3130270.9165010.2162011.0171920.2080420.3302020.1545400.3432750.0432820.1090330.0238830.1178381.1322771.3277120.7840471.313519
34483610post20walktricep3-0.0972770.273465-0.1878030.4128870.7968461.5846880.6313131.7447490.3458250.9192160.2128041.0327860.3339090.9220560.2080281.0331360.2021800.3232850.1603790.3380040.0408770.1045130.0257210.1142460.8941231.3112230.8191161.331861
34493611post20walktricep3-0.2097380.247962-0.0978170.3420860.8882781.6545530.6739071.7665190.3280820.9099910.2365691.0230280.2865930.8988390.2260611.0046680.2184300.3355370.1506490.3578240.0477120.1125850.0226950.1280381.0980161.4065920.7717241.424433
34503612post20walktricep3-0.3787380.300302-0.0799360.3870590.9654411.5675100.6393081.6449630.3308920.9186980.2229011.0285240.3081210.9295130.2109751.0189290.2178480.3272080.1437170.3470470.0474580.1070650.0206540.1204411.3441791.2672080.7192441.257903
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